Triple

T11321920
Position Surface form Disambiguated ID Type / Status
Subject Harbour Line E268113 entity
Predicate hasMajorStation P1071 FINISHED
Object Turbhe
Turbhe is a suburban locality in Navi Mumbai, India, known for its railway station that serves as an important stop on the Mumbai suburban network.
 E919778 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Turbhe | Statement: [Harbour Line, hasMajorStation, Turbhe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Turbhe
Context triple: [Harbour Line, hasMajorStation, Turbhe]
  • A. Shahdara
    Shahdara is a densely populated residential and commercial locality in East Delhi, India, known as one of the city’s oldest suburbs and a key transport hub.
  • B. Shingora
    Shingora is a film featuring Indian actress and model Persis Khambatta, known for her distinctive screen presence and international appeal.
  • C. Durdhara
    Durdhara is traditionally regarded as the wife of the Mauryan emperor Chandragupta Maurya and the mother of his successor, Bindusara, in ancient Indian history.
  • D. Sureth
    Sureth is a modern Eastern Aramaic language spoken primarily by Assyrian communities in parts of Iraq, Syria, Iran, and the diaspora.
  • E. Thareli
    Thareli is an alternative name for the Dhatki language, an Indo-Aryan language spoken primarily in parts of India and Pakistan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Turbhe
Triple: [Harbour Line, hasMajorStation, Turbhe]
Generated description
Turbhe is a suburban locality in Navi Mumbai, India, known for its railway station that serves as an important stop on the Mumbai suburban network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Turbhe
Target entity description: Turbhe is a suburban locality in Navi Mumbai, India, known for its railway station that serves as an important stop on the Mumbai suburban network.
  • A. Shahdara
    Shahdara is a densely populated residential and commercial locality in East Delhi, India, known as one of the city’s oldest suburbs and a key transport hub.
  • B. Shingora
    Shingora is a film featuring Indian actress and model Persis Khambatta, known for her distinctive screen presence and international appeal.
  • C. Durdhara
    Durdhara is traditionally regarded as the wife of the Mauryan emperor Chandragupta Maurya and the mother of his successor, Bindusara, in ancient Indian history.
  • D. Sureth
    Sureth is a modern Eastern Aramaic language spoken primarily by Assyrian communities in parts of Iraq, Syria, Iran, and the diaspora.
  • E. Thareli
    Thareli is an alternative name for the Dhatki language, an Indo-Aryan language spoken primarily in parts of India and Pakistan.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9dff37081909622623e66e17ccd completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543055b588190a417b3d50ade989a completed April 19, 2026, 9:03 p.m.
NEDg Description generation batch_69e5474879088190990468d960b26739 completed April 19, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69e54eccdd3881908536ee3f9f4ef516 completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:32 p.m.